Overview

Dataset statistics

Number of variables17
Number of observations121
Missing cells347
Missing cells (%)16.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory137.1 B

Variable types

Numeric5
Text7
Categorical4
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embeddedHigh correlation
id_embedded is highly overall correlated with id and 1 other fieldsHigh correlation
season is highly overall correlated with id_embedded and 1 other fieldsHigh correlation
number is highly overall correlated with typeHigh correlation
runtime is highly overall correlated with typeHigh correlation
type is highly overall correlated with number and 1 other fieldsHigh correlation
airtime is highly overall correlated with airstampHigh correlation
airstamp is highly overall correlated with season and 1 other fieldsHigh correlation
type is highly imbalanced (93.1%)Imbalance
runtime has 8 (6.6%) missing valuesMissing
rating_average has 121 (100.0%) missing valuesMissing
medium has 71 (58.7%) missing valuesMissing
original has 71 (58.7%) missing valuesMissing
summary has 75 (62.0%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:20:50.640703
Analysis finished2023-08-05 19:20:54.529045
Duration3.89 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2449634.6
Minimum2374464
Maximum2607233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:54.620202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2374464
5-th percentile2393935
Q12427245
median2449346
Q32460914
95-th percentile2566033
Maximum2607233
Range232769
Interquartile range (IQR)33669

Descriptive statistics

Standard deviation45905.234
Coefficient of variation (CV)0.018739626
Kurtosis2.5498539
Mean2449634.6
Median Absolute Deviation (MAD)17422
Skewness1.3442583
Sum2.9640578 × 108
Variance2.1072905 × 109
MonotonicityNot monotonic
2023-08-05T14:20:54.923521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2568170 1
 
0.8%
2399783 1
 
0.8%
2450607 1
 
0.8%
2453843 1
 
0.8%
2442308 1
 
0.8%
2453241 1
 
0.8%
2414524 1
 
0.8%
2397089 1
 
0.8%
2434506 1
 
0.8%
2434505 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
2374464 1
0.8%
2382163 1
0.8%
2383030 1
0.8%
2389802 1
0.8%
2392402 1
0.8%
2393549 1
0.8%
2393935 1
0.8%
2397089 1
0.8%
2399653 1
0.8%
2399783 1
0.8%
ValueCountFrequency (%)
2607233 1
0.8%
2607232 1
0.8%
2599591 1
0.8%
2568170 1
0.8%
2566035 1
0.8%
2566034 1
0.8%
2566033 1
0.8%
2525575 1
0.8%
2514878 1
0.8%
2514558 1
0.8%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54245.876
Minimum5079
Maximum70186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:55.072715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5079
5-th percentile5079
Q142384
median64016
Q366066
95-th percentile67776
Maximum70186
Range65107
Interquartile range (IQR)23682

Descriptive statistics

Standard deviation18211.166
Coefficient of variation (CV)0.33571521
Kurtosis1.9565463
Mean54245.876
Median Absolute Deviation (MAD)2851
Skewness-1.6826492
Sum6563751
Variance3.3164656 × 108
MonotonicityNot monotonic
2023-08-05T14:20:55.234085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41632 10
 
8.3%
5079 8
 
6.6%
61165 6
 
5.0%
37143 6
 
5.0%
66102 3
 
2.5%
64110 3
 
2.5%
69174 3
 
2.5%
65894 2
 
1.7%
66179 2
 
1.7%
66153 2
 
1.7%
Other values (68) 76
62.8%
ValueCountFrequency (%)
5079 8
6.6%
5693 1
 
0.8%
6441 1
 
0.8%
11313 1
 
0.8%
37143 6
5.0%
41611 1
 
0.8%
41632 10
8.3%
42025 1
 
0.8%
42189 1
 
0.8%
42384 1
 
0.8%
ValueCountFrequency (%)
70186 2
1.7%
69964 1
 
0.8%
69174 3
2.5%
67776 1
 
0.8%
67532 1
 
0.8%
67516 1
 
0.8%
67120 1
 
0.8%
66925 1
 
0.8%
66819 1
 
0.8%
66441 1
 
0.8%

url
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:55.481036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length165
Median length95
Mean length78.446281
Min length58

Characters and Unicode

Total characters9492
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2568170/5-knig-2x05-agata-muceniece
2nd rowhttps://www.tvmaze.com/episodes/2392402/cernaa-vesna-1x06-seria-6
3rd rowhttps://www.tvmaze.com/episodes/2482573/dream-listing-byron-bay-1x06-episode-6
4th rowhttps://www.tvmaze.com/episodes/2382163/wanjie-shenzhu-3x295-episode-295
5th rowhttps://www.tvmaze.com/episodes/2374464/yi-nian-yong-heng-2x25-episode-77
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2568170/5-knig-2x05-agata-muceniece 1
 
0.8%
https://www.tvmaze.com/episodes/2392402/cernaa-vesna-1x06-seria-6 1
 
0.8%
https://www.tvmaze.com/episodes/2482573/dream-listing-byron-bay-1x06-episode-6 1
 
0.8%
https://www.tvmaze.com/episodes/2382163/wanjie-shenzhu-3x295-episode-295 1
 
0.8%
https://www.tvmaze.com/episodes/2374464/yi-nian-yong-heng-2x25-episode-77 1
 
0.8%
https://www.tvmaze.com/episodes/2383030/swallowed-star-2x41-episode-67 1
 
0.8%
https://www.tvmaze.com/episodes/2436516/ddt-pro-wrestling-2022-12-21-ddt-danshoku-dino-20th-anniversary-book-publication-commemorative-tournament 1
 
0.8%
https://www.tvmaze.com/episodes/2525575/no-doubt-in-us-2x10-episode-10 1
 
0.8%
https://www.tvmaze.com/episodes/2458410/drawing-jianghu-the-degenerate-1x17-episode-17 1
 
0.8%
https://www.tvmaze.com/episodes/2458411/drawing-jianghu-the-degenerate-1x18-episode-18 1
 
0.8%
Other values (111) 111
91.7%
2023-08-05T14:20:55.907653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 796
 
8.4%
- 752
 
7.9%
/ 605
 
6.4%
s 593
 
6.2%
t 553
 
5.8%
o 494
 
5.2%
a 414
 
4.4%
i 401
 
4.2%
w 395
 
4.2%
p 355
 
3.7%
Other values (30) 4134
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6429
67.7%
Decimal Number 1343
 
14.1%
Other Punctuation 968
 
10.2%
Dash Punctuation 752
 
7.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 796
12.4%
s 593
 
9.2%
t 553
 
8.6%
o 494
 
7.7%
a 414
 
6.4%
i 401
 
6.2%
w 395
 
6.1%
p 355
 
5.5%
m 347
 
5.4%
d 257
 
4.0%
Other values (16) 1824
28.4%
Decimal Number
ValueCountFrequency (%)
2 252
18.8%
1 217
16.2%
4 178
13.3%
0 145
10.8%
3 140
10.4%
5 104
7.7%
9 83
 
6.2%
6 81
 
6.0%
7 77
 
5.7%
8 66
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 605
62.5%
. 242
 
25.0%
: 121
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 752
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6429
67.7%
Common 3063
32.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 796
12.4%
s 593
 
9.2%
t 553
 
8.6%
o 494
 
7.7%
a 414
 
6.4%
i 401
 
6.2%
w 395
 
6.1%
p 355
 
5.5%
m 347
 
5.4%
d 257
 
4.0%
Other values (16) 1824
28.4%
Common
ValueCountFrequency (%)
- 752
24.6%
/ 605
19.8%
2 252
 
8.2%
. 242
 
7.9%
1 217
 
7.1%
4 178
 
5.8%
0 145
 
4.7%
3 140
 
4.6%
: 121
 
4.0%
5 104
 
3.4%
Other values (4) 307
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 796
 
8.4%
- 752
 
7.9%
/ 605
 
6.4%
s 593
 
6.2%
t 553
 
5.8%
o 494
 
5.2%
a 414
 
4.4%
i 401
 
4.2%
w 395
 
4.2%
p 355
 
3.7%
Other values (30) 4134
43.6%

name
Text

Distinct98
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:56.269258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length53
Mean length15.785124
Min length6

Characters and Unicode

Total characters1910
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)70.2%

Sample

1st rowАГАТА МУЦЕНИЕЦЕ
2nd rowСерия 6
3rd rowEpisode 6
4th rowEpisode 295
5th rowEpisode 77
ValueCountFrequency (%)
episode 50
 
14.5%
the 9
 
2.6%
10 7
 
2.0%
6 5
 
1.5%
a 5
 
1.5%
in 5
 
1.5%
серия 4
 
1.2%
1 4
 
1.2%
11 3
 
0.9%
15 3
 
0.9%
Other values (221) 249
72.4%
2023-08-05T14:20:56.795012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
11.7%
e 156
 
8.2%
i 119
 
6.2%
o 119
 
6.2%
s 109
 
5.7%
a 84
 
4.4%
d 77
 
4.0%
r 68
 
3.6%
n 68
 
3.6%
p 66
 
3.5%
Other values (97) 821
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1257
65.8%
Uppercase Letter 272
 
14.2%
Space Separator 223
 
11.7%
Decimal Number 109
 
5.7%
Other Punctuation 42
 
2.2%
Dash Punctuation 5
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 156
12.4%
i 119
 
9.5%
o 119
 
9.5%
s 109
 
8.7%
a 84
 
6.7%
d 77
 
6.1%
r 68
 
5.4%
n 68
 
5.4%
p 66
 
5.3%
t 57
 
4.5%
Other values (33) 334
26.6%
Uppercase Letter
ValueCountFrequency (%)
E 56
20.6%
T 19
 
7.0%
C 14
 
5.1%
D 14
 
5.1%
S 12
 
4.4%
A 12
 
4.4%
B 12
 
4.4%
I 12
 
4.4%
F 11
 
4.0%
L 9
 
3.3%
Other values (31) 101
37.1%
Decimal Number
ValueCountFrequency (%)
1 35
32.1%
2 15
13.8%
7 10
 
9.2%
0 10
 
9.2%
6 9
 
8.3%
5 7
 
6.4%
4 7
 
6.4%
9 6
 
5.5%
8 5
 
4.6%
3 5
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 11
26.2%
. 10
23.8%
' 8
19.0%
! 4
 
9.5%
: 3
 
7.1%
& 2
 
4.8%
# 2
 
4.8%
¡ 1
 
2.4%
? 1
 
2.4%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1445
75.7%
Common 381
 
19.9%
Cyrillic 84
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 156
 
10.8%
i 119
 
8.2%
o 119
 
8.2%
s 109
 
7.5%
a 84
 
5.8%
d 77
 
5.3%
r 68
 
4.7%
n 68
 
4.7%
p 66
 
4.6%
t 57
 
3.9%
Other values (45) 522
36.1%
Cyrillic
ValueCountFrequency (%)
е 9
 
10.7%
р 8
 
9.5%
и 7
 
8.3%
С 5
 
6.0%
я 5
 
6.0%
т 4
 
4.8%
н 4
 
4.8%
М 3
 
3.6%
Е 3
 
3.6%
м 3
 
3.6%
Other values (19) 33
39.3%
Common
ValueCountFrequency (%)
223
58.5%
1 35
 
9.2%
2 15
 
3.9%
, 11
 
2.9%
7 10
 
2.6%
0 10
 
2.6%
. 10
 
2.6%
6 9
 
2.4%
' 8
 
2.1%
5 7
 
1.8%
Other values (13) 43
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1807
94.6%
Cyrillic 84
 
4.4%
None 19
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
 
12.3%
e 156
 
8.6%
i 119
 
6.6%
o 119
 
6.6%
s 109
 
6.0%
a 84
 
4.6%
d 77
 
4.3%
r 68
 
3.8%
n 68
 
3.8%
p 66
 
3.7%
Other values (62) 718
39.7%
Cyrillic
ValueCountFrequency (%)
е 9
 
10.7%
р 8
 
9.5%
и 7
 
8.3%
С 5
 
6.0%
я 5
 
6.0%
т 4
 
4.8%
н 4
 
4.8%
М 3
 
3.6%
Е 3
 
3.6%
м 3
 
3.6%
Other values (19) 33
39.3%
None
ValueCountFrequency (%)
ó 6
31.6%
á 6
31.6%
é 4
21.1%
¡ 1
 
5.3%
ö 1
 
5.3%
É 1
 
5.3%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.231405
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:56.946995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum2022
Range2021
Interquartile range (IQR)2

Descriptive statistics

Standard deviation315.39218
Coefficient of variation (CV)6.038363
Kurtosis36.910679
Mean52.231405
Median Absolute Deviation (MAD)0
Skewness6.1885438
Sum6320
Variance99472.229
MonotonicityNot monotonic
2023-08-05T14:20:57.077893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 69
57.0%
3 23
 
19.0%
2 12
 
9.9%
4 9
 
7.4%
2022 3
 
2.5%
6 1
 
0.8%
22 1
 
0.8%
5 1
 
0.8%
7 1
 
0.8%
16 1
 
0.8%
ValueCountFrequency (%)
1 69
57.0%
2 12
 
9.9%
3 23
 
19.0%
4 9
 
7.4%
5 1
 
0.8%
6 1
 
0.8%
7 1
 
0.8%
16 1
 
0.8%
22 1
 
0.8%
2022 3
 
2.5%
ValueCountFrequency (%)
2022 3
 
2.5%
22 1
 
0.8%
16 1
 
0.8%
7 1
 
0.8%
6 1
 
0.8%
5 1
 
0.8%
4 9
 
7.4%
3 23
 
19.0%
2 12
 
9.9%
1 69
57.0%

number
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)28.3%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean15.2
Minimum1
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:57.219686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7.5
Q314.25
95-th percentile55.1
Maximum295
Range294
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation31.007887
Coefficient of variation (CV)2.0399926
Kurtosis57.092408
Mean15.2
Median Absolute Deviation (MAD)4.5
Skewness6.8028659
Sum1824
Variance961.48908
MonotonicityNot monotonic
2023-08-05T14:20:57.367785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 12
 
9.9%
6 12
 
9.9%
1 10
 
8.3%
10 7
 
5.8%
2 7
 
5.8%
5 7
 
5.8%
7 6
 
5.0%
4 6
 
5.0%
8 5
 
4.1%
9 5
 
4.1%
Other values (24) 43
35.5%
ValueCountFrequency (%)
1 10
8.3%
2 7
5.8%
3 12
9.9%
4 6
5.0%
5 7
5.8%
6 12
9.9%
7 6
5.0%
8 5
4.1%
9 5
4.1%
10 7
5.8%
ValueCountFrequency (%)
295 1
0.8%
122 1
0.8%
72 1
0.8%
69 1
0.8%
63 1
0.8%
57 1
0.8%
55 1
0.8%
51 1
0.8%
47 1
0.8%
45 1
0.8%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
regular
120 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.0991736
Min length7

Characters and Unicode

Total characters859
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 120
99.2%
significant_special 1
 
0.8%

Length

2023-08-05T14:20:57.519234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:20:57.633424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 120
99.2%
significant_special 1
 
0.8%

Most occurring characters

ValueCountFrequency (%)
r 240
27.9%
a 122
14.2%
e 121
14.1%
g 121
14.1%
l 121
14.1%
u 120
14.0%
i 4
 
0.5%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (4) 4
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 858
99.9%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 240
28.0%
a 122
14.2%
e 121
14.1%
g 121
14.1%
l 121
14.1%
u 120
14.0%
i 4
 
0.5%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (3) 3
 
0.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 858
99.9%
Common 1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 240
28.0%
a 122
14.2%
e 121
14.1%
g 121
14.1%
l 121
14.1%
u 120
14.0%
i 4
 
0.5%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (3) 3
 
0.3%
Common
ValueCountFrequency (%)
_ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 240
27.9%
a 122
14.2%
e 121
14.1%
g 121
14.1%
l 121
14.1%
u 120
14.0%
i 4
 
0.5%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (4) 4
 
0.5%

airdate
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-12-21
121 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1210
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-21
2nd row2022-12-21
3rd row2022-12-21
4th row2022-12-21
5th row2022-12-21

Common Values

ValueCountFrequency (%)
2022-12-21 121
100.0%

Length

2023-08-05T14:20:57.753562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:20:57.858166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-21 121
100.0%

Most occurring characters

ValueCountFrequency (%)
2 605
50.0%
- 242
 
20.0%
1 242
 
20.0%
0 121
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 968
80.0%
Dash Punctuation 242
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 605
62.5%
1 242
 
25.0%
0 121
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 605
50.0%
- 242
 
20.0%
1 242
 
20.0%
0 121
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 605
50.0%
- 242
 
20.0%
1 242
 
20.0%
0 121
 
10.0%

airtime
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
79 
00:00
 
7
20:00
 
5
12:00
 
4
10:00
 
4
Other values (16)
22 

Length

Max length5
Median length0
Mean length1.7355372
Min length0

Characters and Unicode

Total characters210
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)8.3%

Sample

1st row
2nd row
3rd row
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
79
65.3%
00:00 7
 
5.8%
20:00 5
 
4.1%
12:00 4
 
3.3%
10:00 4
 
3.3%
18:00 2
 
1.7%
19:30 2
 
1.7%
21:00 2
 
1.7%
21:30 2
 
1.7%
03:00 2
 
1.7%
Other values (11) 12
 
9.9%

Length

2023-08-05T14:20:57.975310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 7
16.7%
20:00 5
11.9%
12:00 4
 
9.5%
10:00 4
 
9.5%
18:00 2
 
4.8%
19:30 2
 
4.8%
21:00 2
 
4.8%
21:30 2
 
4.8%
03:00 2
 
4.8%
11:30 2
 
4.8%
Other values (10) 10
23.8%

Most occurring characters

ValueCountFrequency (%)
0 101
48.1%
: 42
20.0%
1 26
 
12.4%
2 16
 
7.6%
3 11
 
5.2%
9 5
 
2.4%
8 4
 
1.9%
5 3
 
1.4%
4 1
 
0.5%
6 1
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
80.0%
Other Punctuation 42
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
60.1%
1 26
 
15.5%
2 16
 
9.5%
3 11
 
6.5%
9 5
 
3.0%
8 4
 
2.4%
5 3
 
1.8%
4 1
 
0.6%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 101
48.1%
: 42
20.0%
1 26
 
12.4%
2 16
 
7.6%
3 11
 
5.2%
9 5
 
2.4%
8 4
 
1.9%
5 3
 
1.4%
4 1
 
0.5%
6 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 101
48.1%
: 42
20.0%
1 26
 
12.4%
2 16
 
7.6%
3 11
 
5.2%
9 5
 
2.4%
8 4
 
1.9%
5 3
 
1.4%
4 1
 
0.5%
6 1
 
0.5%

airstamp
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2022-12-21T12:00:00+00:00
58 
2022-12-21T04:00:00+00:00
17 
2022-12-21T11:00:00+00:00
2022-12-22T00:00:00+00:00
2022-12-21T02:00:00+00:00
 
3
Other values (22)
29 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3025
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)13.2%

Sample

1st row2022-12-21T00:00:00+00:00
2nd row2022-12-21T00:00:00+00:00
3rd row2022-12-21T01:00:00+00:00
4th row2022-12-21T02:00:00+00:00
5th row2022-12-21T02:00:00+00:00

Common Values

ValueCountFrequency (%)
2022-12-21T12:00:00+00:00 58
47.9%
2022-12-21T04:00:00+00:00 17
 
14.0%
2022-12-21T11:00:00+00:00 7
 
5.8%
2022-12-22T00:00:00+00:00 7
 
5.8%
2022-12-21T02:00:00+00:00 3
 
2.5%
2022-12-21T11:30:00+00:00 3
 
2.5%
2022-12-21T00:00:00+00:00 2
 
1.7%
2022-12-21T03:30:00+00:00 2
 
1.7%
2022-12-21T03:00:00+00:00 2
 
1.7%
2022-12-21T17:00:00+00:00 2
 
1.7%
Other values (17) 18
 
14.9%

Length

2023-08-05T14:20:58.104826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-21t12:00:00+00:00 58
47.9%
2022-12-21t04:00:00+00:00 17
 
14.0%
2022-12-21t11:00:00+00:00 7
 
5.8%
2022-12-22t00:00:00+00:00 7
 
5.8%
2022-12-21t02:00:00+00:00 3
 
2.5%
2022-12-21t11:30:00+00:00 3
 
2.5%
2022-12-21t03:00:00+00:00 2
 
1.7%
2022-12-21t10:00:00+00:00 2
 
1.7%
2022-12-21t17:00:00+00:00 2
 
1.7%
2022-12-21t03:30:00+00:00 2
 
1.7%
Other values (17) 18
 
14.9%

Most occurring characters

ValueCountFrequency (%)
0 1130
37.4%
2 679
22.4%
: 363
 
12.0%
1 324
 
10.7%
- 242
 
8.0%
T 121
 
4.0%
+ 121
 
4.0%
4 19
 
0.6%
3 14
 
0.5%
5 5
 
0.2%
Other values (4) 7
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2178
72.0%
Other Punctuation 363
 
12.0%
Dash Punctuation 242
 
8.0%
Uppercase Letter 121
 
4.0%
Math Symbol 121
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1130
51.9%
2 679
31.2%
1 324
 
14.9%
4 19
 
0.9%
3 14
 
0.6%
5 5
 
0.2%
7 3
 
0.1%
8 2
 
0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 121
100.0%
Math Symbol
ValueCountFrequency (%)
+ 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2904
96.0%
Latin 121
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1130
38.9%
2 679
23.4%
: 363
 
12.5%
1 324
 
11.2%
- 242
 
8.3%
+ 121
 
4.2%
4 19
 
0.7%
3 14
 
0.5%
5 5
 
0.2%
7 3
 
0.1%
Other values (3) 4
 
0.1%
Latin
ValueCountFrequency (%)
T 121
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1130
37.4%
2 679
22.4%
: 363
 
12.0%
1 324
 
10.7%
- 242
 
8.0%
T 121
 
4.0%
+ 121
 
4.0%
4 19
 
0.6%
3 14
 
0.5%
5 5
 
0.2%
Other values (4) 7
 
0.2%

runtime
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)40.7%
Missing8
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean42.185841
Minimum5
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:58.245841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q130
median45
Q349
95-th percentile66.2
Maximum165
Range160
Interquartile range (IQR)19

Descriptive statistics

Standard deviation22.356906
Coefficient of variation (CV)0.52996231
Kurtosis9.2616735
Mean42.185841
Median Absolute Deviation (MAD)7
Skewness2.0400944
Sum4767
Variance499.83123
MonotonicityNot monotonic
2023-08-05T14:20:58.411104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
45 15
 
12.4%
10 7
 
5.8%
50 7
 
5.8%
46 6
 
5.0%
49 5
 
4.1%
48 4
 
3.3%
52 4
 
3.3%
42 4
 
3.3%
30 4
 
3.3%
20 4
 
3.3%
Other values (36) 53
43.8%
(Missing) 8
 
6.6%
ValueCountFrequency (%)
5 1
 
0.8%
9 1
 
0.8%
10 7
5.8%
12 2
 
1.7%
13 1
 
0.8%
14 1
 
0.8%
17 1
 
0.8%
19 2
 
1.7%
20 4
3.3%
22 1
 
0.8%
ValueCountFrequency (%)
165 1
0.8%
120 2
1.7%
93 1
0.8%
81 1
0.8%
68 1
0.8%
65 1
0.8%
60 2
1.7%
59 1
0.8%
58 1
0.8%
57 1
0.8%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing121
Missing (%)100.0%
Memory size1.1 KiB

medium
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing71
Missing (%)58.7%
Memory size1.1 KiB
2023-08-05T14:20:58.660601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters3650
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1090675.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1090661.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1090419.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1090420.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/436/1090421.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090624.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090479.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090661.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090419.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090420.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090421.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090422.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090423.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090427.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090426.jpg 1
 
2.0%
Other values (40) 40
80.0%
2023-08-05T14:20:59.048788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 350
 
9.6%
a 300
 
8.2%
m 250
 
6.8%
s 250
 
6.8%
t 250
 
6.8%
p 200
 
5.5%
e 200
 
5.5%
i 150
 
4.1%
c 150
 
4.1%
. 150
 
4.1%
Other values (22) 1400
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2550
69.9%
Other Punctuation 550
 
15.1%
Decimal Number 500
 
13.7%
Connector Punctuation 50
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 300
11.8%
m 250
9.8%
s 250
9.8%
t 250
9.8%
p 200
 
7.8%
e 200
 
7.8%
i 150
 
5.9%
c 150
 
5.9%
d 150
 
5.9%
o 100
 
3.9%
Other values (8) 550
21.6%
Decimal Number
ValueCountFrequency (%)
0 93
18.6%
4 83
16.6%
6 71
14.2%
1 66
13.2%
3 63
12.6%
9 52
10.4%
7 29
 
5.8%
8 19
 
3.8%
2 14
 
2.8%
5 10
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 350
63.6%
. 150
27.3%
: 50
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2550
69.9%
Common 1100
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 300
11.8%
m 250
9.8%
s 250
9.8%
t 250
9.8%
p 200
 
7.8%
e 200
 
7.8%
i 150
 
5.9%
c 150
 
5.9%
d 150
 
5.9%
o 100
 
3.9%
Other values (8) 550
21.6%
Common
ValueCountFrequency (%)
/ 350
31.8%
. 150
13.6%
0 93
 
8.5%
4 83
 
7.5%
6 71
 
6.5%
1 66
 
6.0%
3 63
 
5.7%
9 52
 
4.7%
_ 50
 
4.5%
: 50
 
4.5%
Other values (4) 72
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 350
 
9.6%
a 300
 
8.2%
m 250
 
6.8%
s 250
 
6.8%
t 250
 
6.8%
p 200
 
5.5%
e 200
 
5.5%
i 150
 
4.1%
c 150
 
4.1%
. 150
 
4.1%
Other values (22) 1400
38.4%

original
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing71
Missing (%)58.7%
Memory size1.1 KiB
2023-08-05T14:20:59.308282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters3750
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1090675.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1090661.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1090419.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1090420.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/436/1090421.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/436/1090624.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090479.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090661.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090419.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090420.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090421.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090422.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090423.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090427.jpg 1
 
2.0%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090426.jpg 1
 
2.0%
Other values (40) 40
80.0%
2023-08-05T14:20:59.695416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 350
 
9.3%
t 300
 
8.0%
a 250
 
6.7%
s 200
 
5.3%
i 200
 
5.3%
o 200
 
5.3%
p 150
 
4.0%
c 150
 
4.0%
. 150
 
4.0%
g 150
 
4.0%
Other values (23) 1650
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2650
70.7%
Other Punctuation 550
 
14.7%
Decimal Number 500
 
13.3%
Connector Punctuation 50
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 300
 
11.3%
a 250
 
9.4%
s 200
 
7.5%
i 200
 
7.5%
o 200
 
7.5%
p 150
 
5.7%
c 150
 
5.7%
g 150
 
5.7%
m 150
 
5.7%
e 150
 
5.7%
Other values (9) 750
28.3%
Decimal Number
ValueCountFrequency (%)
0 93
18.6%
4 83
16.6%
6 71
14.2%
1 66
13.2%
3 63
12.6%
9 52
10.4%
7 29
 
5.8%
8 19
 
3.8%
2 14
 
2.8%
5 10
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 350
63.6%
. 150
27.3%
: 50
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2650
70.7%
Common 1100
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 300
 
11.3%
a 250
 
9.4%
s 200
 
7.5%
i 200
 
7.5%
o 200
 
7.5%
p 150
 
5.7%
c 150
 
5.7%
g 150
 
5.7%
m 150
 
5.7%
e 150
 
5.7%
Other values (9) 750
28.3%
Common
ValueCountFrequency (%)
/ 350
31.8%
. 150
13.6%
0 93
 
8.5%
4 83
 
7.5%
6 71
 
6.5%
1 66
 
6.0%
3 63
 
5.7%
9 52
 
4.7%
: 50
 
4.5%
_ 50
 
4.5%
Other values (4) 72
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 350
 
9.3%
t 300
 
8.0%
a 250
 
6.7%
s 200
 
5.3%
i 200
 
5.3%
o 200
 
5.3%
p 150
 
4.0%
c 150
 
4.0%
. 150
 
4.0%
g 150
 
4.0%
Other values (23) 1650
44.0%

_links_self
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-08-05T14:20:59.939330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters4719
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2568170
2nd rowhttps://api.tvmaze.com/episodes/2392402
3rd rowhttps://api.tvmaze.com/episodes/2482573
4th rowhttps://api.tvmaze.com/episodes/2382163
5th rowhttps://api.tvmaze.com/episodes/2374464
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2568170 1
 
0.8%
https://api.tvmaze.com/episodes/2392402 1
 
0.8%
https://api.tvmaze.com/episodes/2482573 1
 
0.8%
https://api.tvmaze.com/episodes/2382163 1
 
0.8%
https://api.tvmaze.com/episodes/2374464 1
 
0.8%
https://api.tvmaze.com/episodes/2383030 1
 
0.8%
https://api.tvmaze.com/episodes/2436516 1
 
0.8%
https://api.tvmaze.com/episodes/2525575 1
 
0.8%
https://api.tvmaze.com/episodes/2458410 1
 
0.8%
https://api.tvmaze.com/episodes/2458411 1
 
0.8%
Other values (111) 111
91.7%
2023-08-05T14:21:00.307228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 484
 
10.3%
t 363
 
7.7%
p 363
 
7.7%
s 363
 
7.7%
e 363
 
7.7%
a 242
 
5.1%
i 242
 
5.1%
. 242
 
5.1%
m 242
 
5.1%
o 242
 
5.1%
Other values (16) 1573
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3025
64.1%
Other Punctuation 847
 
17.9%
Decimal Number 847
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 363
12.0%
p 363
12.0%
s 363
12.0%
e 363
12.0%
a 242
8.0%
i 242
8.0%
m 242
8.0%
o 242
8.0%
d 121
 
4.0%
h 121
 
4.0%
Other values (3) 363
12.0%
Decimal Number
ValueCountFrequency (%)
2 186
22.0%
4 146
17.2%
3 96
11.3%
5 79
9.3%
9 70
 
8.3%
1 57
 
6.7%
6 54
 
6.4%
8 53
 
6.3%
7 53
 
6.3%
0 53
 
6.3%
Other Punctuation
ValueCountFrequency (%)
/ 484
57.1%
. 242
28.6%
: 121
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3025
64.1%
Common 1694
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 484
28.6%
. 242
14.3%
2 186
 
11.0%
4 146
 
8.6%
: 121
 
7.1%
3 96
 
5.7%
5 79
 
4.7%
9 70
 
4.1%
1 57
 
3.4%
6 54
 
3.2%
Other values (3) 159
 
9.4%
Latin
ValueCountFrequency (%)
t 363
12.0%
p 363
12.0%
s 363
12.0%
e 363
12.0%
a 242
8.0%
i 242
8.0%
m 242
8.0%
o 242
8.0%
d 121
 
4.0%
h 121
 
4.0%
Other values (3) 363
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 484
 
10.3%
t 363
 
7.7%
p 363
 
7.7%
s 363
 
7.7%
e 363
 
7.7%
a 242
 
5.1%
i 242
 
5.1%
. 242
 
5.1%
m 242
 
5.1%
o 242
 
5.1%
Other values (16) 1573
33.3%
Distinct78
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-08-05T14:21:00.560531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.917355
Min length33

Characters and Unicode

Total characters4104
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)49.6%

Sample

1st rowhttps://api.tvmaze.com/shows/58522
2nd rowhttps://api.tvmaze.com/shows/64080
3rd rowhttps://api.tvmaze.com/shows/65274
4th rowhttps://api.tvmaze.com/shows/42025
5th rowhttps://api.tvmaze.com/shows/49652
ValueCountFrequency (%)
https://api.tvmaze.com/shows/41632 10
 
8.3%
https://api.tvmaze.com/shows/5079 8
 
6.6%
https://api.tvmaze.com/shows/61165 6
 
5.0%
https://api.tvmaze.com/shows/37143 6
 
5.0%
https://api.tvmaze.com/shows/66102 3
 
2.5%
https://api.tvmaze.com/shows/64110 3
 
2.5%
https://api.tvmaze.com/shows/69174 3
 
2.5%
https://api.tvmaze.com/shows/66244 2
 
1.7%
https://api.tvmaze.com/shows/61632 2
 
1.7%
https://api.tvmaze.com/shows/66103 2
 
1.7%
Other values (68) 76
62.8%
2023-08-05T14:21:00.948547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 484
 
11.8%
s 363
 
8.8%
t 363
 
8.8%
h 242
 
5.9%
p 242
 
5.9%
a 242
 
5.9%
. 242
 
5.9%
o 242
 
5.9%
m 242
 
5.9%
6 140
 
3.4%
Other values (16) 1302
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2662
64.9%
Other Punctuation 847
 
20.6%
Decimal Number 595
 
14.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 363
13.6%
t 363
13.6%
h 242
9.1%
p 242
9.1%
a 242
9.1%
o 242
9.1%
m 242
9.1%
e 121
 
4.5%
w 121
 
4.5%
c 121
 
4.5%
Other values (3) 363
13.6%
Decimal Number
ValueCountFrequency (%)
6 140
23.5%
1 83
13.9%
4 68
11.4%
5 67
11.3%
3 54
 
9.1%
2 42
 
7.1%
7 42
 
7.1%
0 39
 
6.6%
9 39
 
6.6%
8 21
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 484
57.1%
. 242
28.6%
: 121
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2662
64.9%
Common 1442
35.1%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 484
33.6%
. 242
16.8%
6 140
 
9.7%
: 121
 
8.4%
1 83
 
5.8%
4 68
 
4.7%
5 67
 
4.6%
3 54
 
3.7%
2 42
 
2.9%
7 42
 
2.9%
Other values (3) 99
 
6.9%
Latin
ValueCountFrequency (%)
s 363
13.6%
t 363
13.6%
h 242
9.1%
p 242
9.1%
a 242
9.1%
o 242
9.1%
m 242
9.1%
e 121
 
4.5%
w 121
 
4.5%
c 121
 
4.5%
Other values (3) 363
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 484
 
11.8%
s 363
 
8.8%
t 363
 
8.8%
h 242
 
5.9%
p 242
 
5.9%
a 242
 
5.9%
. 242
 
5.9%
o 242
 
5.9%
m 242
 
5.9%
6 140
 
3.4%
Other values (16) 1302
31.7%

summary
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing75
Missing (%)62.0%
Memory size1.1 KiB
2023-08-05T14:21:01.241728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length627
Median length170
Mean length176.17391
Min length59

Characters and Unicode

Total characters8104
Distinct characters62
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row<p>Braden reckons his listing at Lennox Head is perfect for an international millionaire to buy. Plus, Frank goes to auction with a bespoke bush property up in The Pocket.</p>
2nd row<p>The remaining contestants will pay tribute to a legendary Christmas film, and a very competent panel of judges will assess the whole thing.</p>
3rd row<p>Jack Ryan investigates a secret plan to restore the Soviet Empire through war, embarking on a dangerous op with the help of Rome Station Chief Elizabeth Wright and Head of Russia House James Greer. Meanwhile, an assassination on home soil forces Czech President Alena Kovac into a dangerous position with Russia.</p>
4th row<p>Jack, out in the cold and on the run after the fallout from his failed operation in Greece, must evade authorities both foreign and domestic before receiving help from an old friend.</p>
5th row<p>Jack travels to Vienna to track down the source of his original intelligence on Sokol. Greer advises Alena on a key NATO deal. Petr Kovac, Alena's father, hosts a hunt in the Czech woods.</p>
ValueCountFrequency (%)
the 76
 
5.8%
a 48
 
3.6%
to 45
 
3.4%
and 37
 
2.8%
in 27
 
2.0%
for 19
 
1.4%
of 17
 
1.3%
on 16
 
1.2%
his 16
 
1.2%
an 13
 
1.0%
Other values (736) 1007
76.2%
2023-08-05T14:21:01.705489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1275
15.7%
e 778
 
9.6%
a 500
 
6.2%
t 487
 
6.0%
n 478
 
5.9%
i 458
 
5.7%
s 452
 
5.6%
o 447
 
5.5%
r 399
 
4.9%
h 302
 
3.7%
Other values (52) 2528
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6142
75.8%
Space Separator 1275
 
15.7%
Uppercase Letter 255
 
3.1%
Other Punctuation 231
 
2.9%
Math Symbol 184
 
2.3%
Dash Punctuation 16
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 778
12.7%
a 500
 
8.1%
t 487
 
7.9%
n 478
 
7.8%
i 458
 
7.5%
s 452
 
7.4%
o 447
 
7.3%
r 399
 
6.5%
h 302
 
4.9%
l 241
 
3.9%
Other values (18) 1600
26.1%
Uppercase Letter
ValueCountFrequency (%)
S 27
 
10.6%
A 21
 
8.2%
T 19
 
7.5%
M 18
 
7.1%
J 17
 
6.7%
E 17
 
6.7%
P 16
 
6.3%
C 15
 
5.9%
G 15
 
5.9%
I 14
 
5.5%
Other values (12) 76
29.8%
Other Punctuation
ValueCountFrequency (%)
. 84
36.4%
, 79
34.2%
/ 46
19.9%
' 18
 
7.8%
" 2
 
0.9%
? 1
 
0.4%
! 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
< 92
50.0%
> 92
50.0%
Space Separator
ValueCountFrequency (%)
1275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6397
78.9%
Common 1707
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 778
12.2%
a 500
 
7.8%
t 487
 
7.6%
n 478
 
7.5%
i 458
 
7.2%
s 452
 
7.1%
o 447
 
7.0%
r 399
 
6.2%
h 302
 
4.7%
l 241
 
3.8%
Other values (40) 1855
29.0%
Common
ValueCountFrequency (%)
1275
74.7%
< 92
 
5.4%
> 92
 
5.4%
. 84
 
4.9%
, 79
 
4.6%
/ 46
 
2.7%
' 18
 
1.1%
- 16
 
0.9%
" 2
 
0.1%
? 1
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8101
> 99.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1275
15.7%
e 778
 
9.6%
a 500
 
6.2%
t 487
 
6.0%
n 478
 
5.9%
i 458
 
5.7%
s 452
 
5.6%
o 447
 
5.5%
r 399
 
4.9%
h 302
 
3.7%
Other values (50) 2525
31.2%
None
ValueCountFrequency (%)
é 2
66.7%
ğ 1
33.3%

Interactions

2023-08-05T14:20:53.428611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.166284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.765901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.349128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.913524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.529212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.280641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.899447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.475935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.011659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.635493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.380690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.999175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.584662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.112852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.744925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.485470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.111046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.692685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.224664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.848507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:51.597036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.211983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:52.800466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:20:53.320384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:21:01.827961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetypeairtimeairstamp
id1.0000.640-0.1840.127-0.1240.0000.2040.315
id_embedded0.6401.000-0.6830.148-0.1720.0310.2820.282
season-0.184-0.6831.000-0.084-0.0020.0000.4740.786
number0.1270.148-0.0841.000-0.3371.0000.2380.480
runtime-0.124-0.172-0.002-0.3371.0000.9730.0000.140
type0.0000.0310.0001.0000.9731.0000.0000.000
airtime0.2040.2820.4740.2380.0000.0001.0000.810
airstamp0.3150.2820.7860.4800.1400.0000.8101.000

Missing values

2023-08-05T14:20:54.015265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:20:54.278244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:20:54.446008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0256817058522https://www.tvmaze.com/episodes/2568170/5-knig-2x05-agata-mucenieceАГАТА МУЦЕНИЕЦЕ25.0regular2022-12-212022-12-21T00:00:00+00:0044.0NoneNoneNonehttps://api.tvmaze.com/episodes/2568170https://api.tvmaze.com/shows/58522None
1239240264080https://www.tvmaze.com/episodes/2392402/cernaa-vesna-1x06-seria-6Серия 616.0regular2022-12-212022-12-21T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2392402https://api.tvmaze.com/shows/64080None
2248257365274https://www.tvmaze.com/episodes/2482573/dream-listing-byron-bay-1x06-episode-6Episode 616.0regular2022-12-212022-12-21T01:00:00+00:0043.0NoneNoneNonehttps://api.tvmaze.com/episodes/2482573https://api.tvmaze.com/shows/65274<p>Braden reckons his listing at Lennox Head is perfect for an international millionaire to buy. Plus, Frank goes to auction with a bespoke bush property up in The Pocket.</p>
3238216342025https://www.tvmaze.com/episodes/2382163/wanjie-shenzhu-3x295-episode-295Episode 2953295.0regular2022-12-2110:002022-12-21T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2382163https://api.tvmaze.com/shows/42025None
4237446449652https://www.tvmaze.com/episodes/2374464/yi-nian-yong-heng-2x25-episode-77Episode 77225.0regular2022-12-2110:002022-12-21T02:00:00+00:0019.0NoneNoneNonehttps://api.tvmaze.com/episodes/2374464https://api.tvmaze.com/shows/49652None
5238303052178https://www.tvmaze.com/episodes/2383030/swallowed-star-2x41-episode-67Episode 67241.0regular2022-12-2110:002022-12-21T02:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2383030https://api.tvmaze.com/shows/52178None
6243651642384https://www.tvmaze.com/episodes/2436516/ddt-pro-wrestling-2022-12-21-ddt-danshoku-dino-20th-anniversary-book-publication-commemorative-tournamentDDT Danshoku Dino 20th Anniversary Book Publication Commemorative Tournament2022122.0regular2022-12-212022-12-21T03:00:00+00:00120.0NoneNoneNonehttps://api.tvmaze.com/episodes/2436516https://api.tvmaze.com/shows/42384None
7252557555086https://www.tvmaze.com/episodes/2525575/no-doubt-in-us-2x10-episode-10Episode 10210.0regular2022-12-2111:002022-12-21T03:00:00+00:0013.0NoneNoneNonehttps://api.tvmaze.com/episodes/2525575https://api.tvmaze.com/shows/55086None
8245841066103https://www.tvmaze.com/episodes/2458410/drawing-jianghu-the-degenerate-1x17-episode-17Episode 17117.0regular2022-12-2111:302022-12-21T03:30:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2458410https://api.tvmaze.com/shows/66103None
9245841166103https://www.tvmaze.com/episodes/2458411/drawing-jianghu-the-degenerate-1x18-episode-18Episode 18118.0regular2022-12-2111:302022-12-21T03:30:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2458411https://api.tvmaze.com/shows/66103None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
111244190758174https://www.tvmaze.com/episodes/2441907/the-traitors-1x11-episode-11Episode 11111.0regular2022-12-2121:002022-12-21T21:00:00+00:0059.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084169.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084169.jpghttps://api.tvmaze.com/episodes/2441907https://api.tvmaze.com/shows/58174<p>It is the penultimate day of the game, and for the players left in the competition it is a race to the final, as everyone considers their survival. Emotions hit fever pitch as there are tears at breakfast, tensions hit new heights at the mission, and an explosive tussle for power ensues before the players even reach the round table. As the drama unfolds, no-one knows who to trust!</p>
112245767456531https://www.tvmaze.com/episodes/2457674/dimension-20-16x04-once-upon-a-timeOnce Upon a Time164.0regular2022-12-2119:002022-12-22T00:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2457674https://api.tvmaze.com/shows/56531None
113242738961165https://www.tvmaze.com/episodes/2427389/a-year-on-planet-earth-1x01-winterWinter11.0regular2022-12-2100:002022-12-22T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091373.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091373.jpghttps://api.tvmaze.com/episodes/2427389https://api.tvmaze.com/shows/61165<p>Stephen Fry explores how nearly all life on Earth is impacted by our annual journey around the sun. Northern winters bring notably harsh conditions for polar bears, for example.</p>
114242739061165https://www.tvmaze.com/episodes/2427390/a-year-on-planet-earth-1x02-springSpring12.0regular2022-12-2100:002022-12-22T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091374.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091374.jpghttps://api.tvmaze.com/episodes/2427390https://api.tvmaze.com/shows/61165<p>As the North starts to face the sun, the great melt begins, and there's a baby boom. But for penguins and foxes in the South, conditions are getting harsher.</p>
115242739161165https://www.tvmaze.com/episodes/2427391/a-year-on-planet-earth-1x03-summerSummer13.0regular2022-12-2100:002022-12-22T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091375.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091375.jpghttps://api.tvmaze.com/episodes/2427391https://api.tvmaze.com/shows/61165<p>Summer can be extreme. In The Rockies, summers are short. Pika must harvest flowers to eat before the snow returns. For Marion Island's king penguin chicks, life has frozen still.</p>
116242739261165https://www.tvmaze.com/episodes/2427392/a-year-on-planet-earth-1x04-autumnAutumn14.0regular2022-12-2100:002022-12-22T00:00:00+00:0046.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091376.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091376.jpghttps://api.tvmaze.com/episodes/2427392https://api.tvmaze.com/shows/61165<p>Autumn signals change. For many, change brings opportunity, but also huge challenges. For some, like Monarch butterflies, it offers a chance to begin again or take a new path.</p>
117242739361165https://www.tvmaze.com/episodes/2427393/a-year-on-planet-earth-1x05-full-circleFull Circle15.0regular2022-12-2100:002022-12-22T00:00:00+00:0047.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091378.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091378.jpghttps://api.tvmaze.com/episodes/2427393https://api.tvmaze.com/shows/61165<p>See the incredible strategies animals like red squirrels, pikas and penguins use to cope with their changing worlds, as we journey through the seasons, in our orbit around the sun.</p>
118242739461165https://www.tvmaze.com/episodes/2427394/a-year-on-planet-earth-1x06-a-year-on-my-planet-earthA Year on My Planet Earth16.0regular2022-12-2100:002022-12-22T00:00:00+00:0047.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/436/1091377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/436/1091377.jpghttps://api.tvmaze.com/episodes/2427394https://api.tvmaze.com/shows/61165<p>These are the stories of the scientists and conservationists who have have used pioneering techniques to uncover new behaviour, enabling us to film this extraordinary series.</p>
119240977242189https://www.tvmaze.com/episodes/2409772/all-elite-wrestling-dynamite-2022-12-21-168-holiday-bash-freeman-coliseum-in-san-antonio-tx#168 - Holiday Bash: Freeman Coliseum in San Antonio, TX202251.0regular2022-12-2120:002022-12-22T01:00:00+00:00120.0NoneNoneNonehttps://api.tvmaze.com/episodes/2409772https://api.tvmaze.com/shows/42189None
120245575254476https://www.tvmaze.com/episodes/2455752/alle-elsker-david-3x18-ikke-ny-stemorIkke ny stemor!318.0regular2022-12-2103:002022-12-22T02:00:00+00:0022.0NoneNoneNonehttps://api.tvmaze.com/episodes/2455752https://api.tvmaze.com/shows/54476None